Research summer intern

Job description

The IBM Social Good Fellowship is an opportunity for graduate students and postdoctoral scholars to develop their skills and develop data science solutions that benefit humanity. Mentored by leading IBM Research scientists and engineers at the T. J. Watson Research Center in Yorktown Heights, NY (north of New York City), fellows use data mining, machine learning, analytics, operations research, statistics, and mobile computing methods to complete projects with social impact. Working closely with non-governmental organizations, social enterprises, government agencies, and other mission-driven partners, fellows take on real-world problems in health, energy, environment, education, international development, equality, justice, and more. Fellows will collaborate with and learn from renowned researchers,work on an important problem for the social good, and hone their data science skills.

More info can be found on: http://www.ibm.com/ibm/responsibility/initiatives/IBMSocialGoodFellowship.html

Auto req ID

34224BR
Required Education

Bachelor's Degree
Role ( Job Role )

Student/Intern
State / Province

NEW YORK
Primary job category

Other
Remote work possible?

No
Contract type

Internship
Employment Type

Full-Time
Is this role a commissionable/sales incentive based position?

No
Travel Required

No Travel
IBM Business Group

Research
Preferred Education

Doctorate Degree
City / Township / Village

YORKTOWN HEIGHTS
EO Statement

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Required Technical and Professional Expertise

·  At least 2 years of experience in predictive modeling, machine learning, data science, data mining, pattern recognition

Country

United States
Preferred Technical and Professional Experience

·  Experience with visualization

Secondary Job Category

Unassigned
Eligibility Requirements

·  None